Hourly forecasting of the photovoltaic electricity at any latitude using a network of artificial neural networks
Nowadays, special attention is paid to the importance of using photovoltaic (PV) systems to
tackle the problem of climate change and the energy crisis. Artificial intelligence is currently …
tackle the problem of climate change and the energy crisis. Artificial intelligence is currently …
[HTML][HTML] From BIM to digital twin in BIPV: A review of current knowledge
W Wang, K Xu, S Song, Y Bao, C ** countries like Ethiopia …
A water cycle approach for maximum power point tracking through an interleaved boost converter
K Krishnaram… - … Power Components and …, 2023 - Taylor & Francis
In this work, an Interleaved Boost Converter (IBC) is developed for Sun Powered E-vehicles
(SPEVs) to reduce input/output filters, improve dynamic characteristics, and minimize device …
(SPEVs) to reduce input/output filters, improve dynamic characteristics, and minimize device …
Detection and classification of photovoltaic module defects based on artificial intelligence
WM Shaban - Neural Computing and Applications, 2024 - Springer
Photovoltaic (PV) system performance and reliability can be improved through the detection
of defects in PV modules and the evaluation of their effects on system operation. In this …
of defects in PV modules and the evaluation of their effects on system operation. In this …
Assessing the performance of a monocrystalline solar panel under different tropical climatic conditions in Cameroon using artificial neural network
To implement the European Union (EU)-Africa Green Energy Initiative in Cameroon to boost
the renewable energy sector, we model the performance of a 500 W monocrystalline solar …
the renewable energy sector, we model the performance of a 500 W monocrystalline solar …
A hybrid machine-learning model for solar irradiance forecasting
Nowcasting and forecasting solar irradiance are vital for the optimal prediction of grid-
connected solar photovoltaic (PV) power plants. These plants face operational challenges …
connected solar photovoltaic (PV) power plants. These plants face operational challenges …